ArticlePloS one2017
Functional connectivity analysis in EEG source space: The choice of method.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional Brain Connectivity of Language Functions in Children Revealed by EEG and MEG: A Systematic Review.Frontiers in human neuroscience · 2020Pooled it
- Human short-term memory learning based on dynamic glutamate levels and oscillatory activities: concurrent metabolic and electrophysiological studies using event-related functional-MRS and EEG modalities.Cognitive processing · 2026Article
- EEG biomarkers for Alzheimer's disease: A novel automated pipeline for detecting and monitoring disease progression.Journal of Alzheimer's disease : JAD · 2025Article
- Temporal Properties of Self-Prioritization.Entropy (Basel, Switzerland) · 2024Article
- An evaluation of inter-brain EEG coupling methods in hyperscanning studies.Cognitive neurodynamics · 2024Article
- Online functional connectivity analysis of large all-to-all networks in MNE Scan.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Texture-based brain networks for characterization of healthy subjects from MRI.Scientific reports · 2023Article
- Electroencephalogram-Based Brain Connectivity Analysis in Prolonged Disorders of Consciousness.Neural plasticity · 2023Article
- EEG functional connectivity analysis in the source space.Developmental cognitive neuroscience · 2022Article
- Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimization.Scientific reports · 2022Article
- A survey of brain network analysis by electroencephalographic signals.Cognitive neurodynamics · 2022Article
- Dementia ConnEEGtome: Towards multicentric harmonization of EEG connectivity in neurodegeneration.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2022Review
- The functional characterization of callosal connections.Progress in neurobiology · 2022Review
- Electroencephalogram microstates and functional connectivity of cybersickness.Frontiers in human neuroscience · 2022Article
- A systematic evaluation of source reconstruction of resting MEG of the human brain with a new high-resolution atlas: Performance, precision, and parcellation.Human brain mapping · 2021Article
- Characterization of the Stages of Creative Writing With Mobile EEG Using Generalized Partial Directed Coherence.Frontiers in human neuroscience · 2020Article
- EEGSourceSim: A framework for realistic simulation of EEG scalp data using MRI-based forward models and biologically plausible signals and noise.Journal of neuroscience methods · 2019Article
- Alpha Waves as a Neuromarker of Autism Spectrum Disorder: The Challenge of Reproducibility and Heterogeneity.Frontiers in neuroscience · 2018Article
Corrections and comments
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Functional connectivity (FC) is among the most informative features derived from EEG. However, the most straightforward sensor-space analysis of FC is unreliable owing to volume conductance effects. An alternative-source-space analysis of FC-is optimal for high- and mid-density EEG (hdEEG, mdEEG); however, it is questionable for widely used low-density EEG (ldEEG) because of inadequate surface sampling. Here, using simulations, we investigate the performance of the two source FC methods, the inverse-based source FC (ISFC) and the cortical partial coherence (CPC). To examine the effects of localization errors of the inverse method on the FC estimation, we simulated an oscillatory source with varying locations and SNRs. To compare the FC estimations by the two methods, we simulated two synchronized sources with varying between-source distance and SNR. The simulations were implemented for hdEEG, mdEEG, and ldEEG. We showed that the performance of both methods deteriorates for deep sources owing to their inaccurate localization and smoothing. The accuracy of both methods improves with the increasing between-source distance. The best ISFC performance was achieved using hd/mdEEG, while the best CPC performance was observed with ldEEG. In conclusion, with hdEEG, ISFC outperforms CPC and therefore should be the preferred method. In the studies based on ldEEG, the CPC is a method of choice.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.